scholarly journals Process pattern and process capability evaluation model for interoperability in learning object environments

Array ◽  
2021 ◽  
Vol 10 ◽  
pp. 100059
Author(s):  
Araceli Justo-López ◽  
Gabriel López-Morteo ◽  
Brenda Flores-Ríos ◽  
Lorena Castro García
Keyword(s):  
Evaluation Model ◽  
Process Capability ◽  
Learning Object ◽  
Pattern And Process ◽  
Process Pattern ◽  
Capability Evaluation

scholarly journals Multiple Process Capability Improvement Method based on Principal Component Analysis

2019 ◽  
Vol 1 (1) ◽  
Author(s):  
Guangqi Ying ◽  
Yan Ran ◽  
Genbao Zhang ◽  
Yuxin Liu ◽  
Shengyong Zhang
Keyword(s):  
Principal Component Analysis ◽  
Principal Components ◽  
Evaluation Method ◽  
Process Capability ◽  
Principal Component ◽  
Component Analysis ◽  
Multiple Process ◽  
Improvement Method ◽  
Capability Evaluation ◽  
Capability Improvement

For the traditional multi-process capability construction method based on principal component analysis, the process variables are mainly considered, but not the process capability, which leads to the deviation of the contribution rate of principal component. In response to the question, this paper first clarifies the problem from two aspects: theoretical analysis and example proof. Secondly, aiming at the rationality of principal components degree, an evaluation method for pre-processing data before constructing MPCI using PCA is proposed. The pre-processing of data is mainly to standardize the specification interval of quality characteristics making the principal components degree more reasonable and optimizes the process capability evaluation method. Finally, the effectiveness and feasibility of the method are proved by an application example.

Research on Comprehensive Evaluation of Service Capability of the Third-Party Logistics Suppliers with AHP and Gray Entropy Theory

2021 ◽  
Author(s):  
Jun Li ◽  
Xuhua Pan ◽  
Mingxiao Li ◽  
Gang Wang ◽  
Zhixin Zhang
Keyword(s):  
Evaluation System ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Evaluation Process ◽  
Third Party ◽  
Third Party Logistics ◽  
Comprehensive Service ◽  
Service Capability ◽  
Capability Evaluation

To solve the problem of third-party logistics (3PL) evaluation and selection, a hybrid method with AHP and gray theory is proposed. First, the literature review about the 3PL evaluation method and technology is introduced. Furthermore, TPL comprehensive service capability evaluation system is established from aspects of service, time, cost and enterprise qualification. Besides, a comprehensive evaluation model process with gray entropy and AHP is introduced. Finally, a detailed evaluation process of 3PL supplier service capability in F company is introduced by an example, and the results show that the evaluation method in the paper is helpful to choose the TPL for logistics outsourcing.

scholarly journals Port Capability Evaluation from the Perspective of Supply Chain

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Leijie Zhang ◽  
Sijia Qu ◽  
Jin Dai
Keyword(s):  
Supply Chain ◽  
Evaluation System ◽  
Evaluation Model ◽  
Northeast Asia ◽  
Scoring Method ◽  
Capacity Evaluation ◽  
Comprehensive Service ◽  
Resource Ownership ◽  
Capability Evaluation ◽  
Ownership Control

Today’s ports have become an important node in the global supply chain. It is particularly important to make a scientific assessment of the comprehensive capabilities of the port and to provide a reference for the long-term development of the port. From the perspective of the supply chain, this article first selects the evaluation indicators that affect the port’s capabilities from four aspects of port resource ownership, control management, comprehensive services, and innovation-driven aspect. Secondly, we use the expert scoring method to judge the importance of the evaluation indicators and build a scientific and independent port capacity evaluation system from the perspective of the supply chain. Then, this paper uses the analytic hierarchy process to determine the weight coefficients of each evaluation index and uses the gray cluster analysis method of the triangular whitening weight function based on the center point to establish a qualitative and quantitative port capacity evaluation model from the perspective of the supply chain. Finally, we take a port in Northeast Asia as an example to conduct an empirical analysis to verify the feasibility of the port capacity evaluation system and model from the perspective of the supply chain constructed in this paper. The research results of this article can well analyze the port’s resource ownership, control and management capabilities, comprehensive service capabilities, and innovation-driven capabilities and provide a practical and effective theoretical basis for the port’s key development directions.

scholarly journals Indexes establishment and capability evaluation of space-air-ground remote sensing cooperation in geo-hazard emergency response

2020 ◽  
Author(s):  
Yahong Liu ◽  
Jin Zhang
Keyword(s):  
Remote Sensing ◽  
Emergency Response ◽  
Evaluation Model ◽  
Collaborative Work ◽  
Service Evaluation ◽  
Task Completion ◽  
Evaluation Indexes ◽  
Service Capability ◽  
Capability Evaluation ◽  
Time Critical

Abstract. Geo-hazard emergency response is a disaster prevention and reduction action that multi-factorial, time-critical, task-intensive and socially significant. In order to improve the rationalization and standardization of space-air-ground remote sensing collaborative observation in geo-hazard emergency response, this paper comprehensively analyzes the technical resources of remote sensing sensors and the emergency service system, and establishes a database of technical and service evaluation indexes using MySQL. A method is proposed to evaluate and calculate the cooperative observation effectiveness in a specific remote sensing cooperative environment by combining TOPSIS and RSR. For the evaluation of remote sensing cooperative service capability in geo-hazard emergency response, taking earthquake as an example, establishing a remote sensing cooperative earthquake emergency response service chain, and designing a Bayesian network evaluation model. Through the evaluation of observation efficiency and service capability, the operation and task completion of remote sensing collaborative technology in geo-hazard emergency response can be effectively grasped and a basis for decision making can be provided for space-air-ground remote sensing collaborative work.

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